create an XOR GATE using a feed forward neural net

Hello I am new to neural networrks in matlab.And I want to create a feedforward neural net to calculate XORs of two input values.

The theoretical neural network is given below in the pic.I want to replicate the same using matlab neural net toolbox.

for this i have created a simple neural network

net=feedforwardnet(2);

since i need two inputs A and B I have changed the inputs as the following code:

      net.numInputs=2;
      view(net);

After running the code I am getting the following figure:

The matlab representation for neural network is quite different than the theoretical one. Now i can't understand why the second input is not connected .I need to specify the input values for A[0 0 1 1 ] and B[0 1 0 1] so that i get the out put as t[0 1 1 0] which is XOR.Kindly explain me how t set the bias as magnitude one and the weights for the branches as in the theoretical figure to the same as in my neural network in matlab.

Answer 1

[Greg Heath]

You are mistaken. You should only use 1 input. However, it should be two dimensional.

Hope this helps.

Thank you for formally accepting my answer*

Greg

[Newman]

Sir r u trying to say that my input x should be in this form:

[0 0 1 1;0 1 0 1].

But sir can you please tell me how should i change the weights and set the biases ?

Answer 2

[Aya Ahmed]

Newman have you reach to the code ??

PLZ help me , i want to make that but i cant

Answer 3

[Multi Vac]

look here :

https://in.mathworks.com/matlabcentral/answers/63738-how-to-train-feedforward-network-to-solve-xor-function